Announcing Saviynt Identity Security for AI: Secure and Govern every agent. End to End.

A new standard for a new class of identities

AI represents the biggest technology shift in decades, and agents are no longer experimental. They are embedded in enterprise workflows, becoming the fastest-growing identity across organizations.

Within two years, enterprises are expected to operate over 1.3 billion AI identities. But this scale introduces risks that most traditional IAM (Identity Access Management) platforms weren’t built to handle. The result? Shadow identities, uncontrolled access paths, and autonomous decision‑making outside governance.

To adopt AI with confidence, three questions need to be answered:

• Can you see every AI agent operating across your environment?
• Can you govern each agent with ownership, lifecycle, and least‑privilege controls?
• Are you confident your agents are accessing only what they are supposed to?

Our mission at Saviynt has always been simple: protect every identity that powers your enterprise.

Today, we’re introducing Saviynt Identity Security for AI, the first end‑to‑end identity security platform purpose‑built to secure AI agents, no matter where they are built or deployed. It was developed through deep design partnerships with industry leaders, including Hertz, UKG, and The Auto Club Group, to meet real-world governance, safety, and scale requirements for AI adoption.

Identity control plane: Governing every AI agent

Saviynt Identity Security for AI is the industry’s first end‑to‑end solution designed to discover, govern, and enforce runtime authorization for every AI agent — across models, MCP servers, tools, knowledge bases, and agent frameworks.

It brings together three core capabilities:

• Posture Management for AI Agents

• Identity Lifecycle Management for AI Agents

• Runtime Authorization for AI Agents

This architecture is grounded in insights from Saviynt’s AI security research and real-world deployments, including the rapid growth of AI identities, the emergence of shadow agents, the need for real-time guardrails, and identity’s role as the control plane for AI security.

AI agent posture management: Continuous visibility and risk insights

Enterprises are rapidly building AI agents and agentic components—such as MCP servers and tools—across pro-code, low-code, and no-code platforms. At the same time, developers are deploying agents in unmanaged environments, including VMs, Kubernetes clusters, and local machines, driving the rise of shadow AI. Without continuous visibility into these agents and their ecosystem, organizations cannot detect misconfigurations, identify drift, or respond effectively to emerging risks—especially as shadow AI continues to grow.

Saviynt AI Agent Posture Management closes this visibility gap by delivering a comprehensive, real-time inventory and risk view of every AI agent across your enterprise—regardless of platform.

It establishes a trusted registry of all AI agents, MCP servers, tools, and model connections, while continuously evaluating configurations, guardrails, access paths, and behavioral patterns.

With deep visibility into risky access paths, organizations can precisely map each agent’s capabilities; the operations it can execute, the data it can access, and the privileges it accumulates over time. By correlating internal and external risk signals, Saviynt continuously detects behavioral drift from declared intent, helping organizations assess and minimize each agent’s true blast radius.

Every change is captured in a complete, immutable audit trail—from ownership updates and guardrail assignments to MCP/tool additions and entitlement modifications. A unified timeline provides continuous visibility into configuration changes, new knowledge sources, policy updates, and runtime activity.

Posture is the foundation of AI security. Without it, governance is guesswork. If you can discover it, you can govern it—ensuring a clear, real-time understanding of the entire AI estate before enforcing lifecycle and runtime controls.

AI agent identity lifecycle management: from creation to retirement

AI agents have lifecycle patterns similar to human identities, only faster and at a far greater scale. An agent can be created in seconds, run indefinitely, evolve autonomously, and retain privileges long after a project ends.

That lifecycle often breaks down at the first step: registration. Without a defined process to establish purpose, scope, owner, and guardrails at creation, organizations are left with agents that operate without accountability, provenance, or enforceable boundaries.

Saviynt’s AI Agent Identity Management closes these gaps by introducing structured, identity-first governance across every phase of an agent’s lifecycle: from creation to retirement.

Every AI agent is provisioned with a unique identity and registered with a clearly defined purpose, approved scope, and assigned ownership — including a built-in succession plan — while enforcing least‑privilege access from day one.

Continuous lifecycle monitoring then tracks configuration changes, behavior drift, tool and updates, and delegations across multi‑agent workflows, enabling full provenance and attribution. And when the agent reaches the end‑of‑life, Saviynt ensures clean retirement by revoking credentials, removing standing privileges, and locking events for audit and compliance. This turns AI agents from unmanaged automation into accountable, traceable, and governable identities, ensuring enterprises maintain control even as AI adoption accelerates.

Runtime authorization for AI agents: Real-time control over every action

As enterprises scale AI agents across workflows, the core security challenge shifts from who an agent is to what it is actually doing. Even with proper registration and governance, AI agents frequently generate execution plans that drift from user intent, such as querying systems they weren’t meant to access, chaining tools unexpectedly, or performing high-impact operations at machine speed.

Saviynt’s Runtime Authorization Access Gateway is built precisely for this frontier.

The gateway analyzes an agent’s access, inspects its execution plan, evaluates contextual risk signals, and enforces policy, all in real-time. That means an agent asked to “summarize customer records” cannot suddenly attempt a bulk export, and an agent tasked with “cleaning stale CRM entries” cannot initiate a full database deletion. Each action is continuously governed with outcomes such as allow, block, limited scope, or escalation for human approval, while maintaining a full audit trail. With this capability, enterprises can make AI agents safe by default —ensuring they stay aligned with their intended purpose and reducing the blast-radius risk inherent in autonomous systems.

This prevents unintended outcomes and keeps every agent aligned with its declared purpose — regardless of how it evolves or what requests it chains together. Runtime authorization is the definitive safeguard for the autonomous enterprise.

Identity is how you govern AI

AI agents are already embedded across enterprise workflows. Without identity-based governance, they introduce new attack surfaces, inconsistent oversight, and unbounded privilege risks.

Saviynt Identity Security for AI provides the enterprise with:

• Visibility into every agent
• Governance across the full lifecycle
• Runtime control over every action
• Accountability through ownership and provenance
• Zero standing privilege through continuous authorization

This unified model gives organizations the confidence to innovate with AI — without sacrificing security, compliance, or control.

AI will be the largest workforce your enterprise has ever had.

Now, you have a way to govern it.

Save the date! Join the Identity Security for AI Showcase on May 12 to learn how Saviynt will help you hit even your most aggressive AI adoption goals while improving your identity security efforts across your entire organization.